DFIG current and controller signals' angular shaft misalignment signature' an experimental case study
Yükleniyor...
Dosyalar
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
with the continuous increase in wind turbine generator size the monitoring and diagnosis of drive train shaft misalignment is of growing importance, as this condition contributes to as much as 30% of turbine's downtime. Machine current signature analysis has been widely investigated in conventional machinery as a non-invasive diagnostic tool for shaft misalignment, via spectrum analysis of the stator current signal. This paper reports a practical case study of misalignment fault signature manifestation in the doubly-fed induction generator (DFIG) controller signals spectra, with a view to assessing the feasibility of low cost and non-invasive controller signal analysis based misalignment diagnosis. The study employs a laboratory test rig to undertake a series of tests to analyze the sensitivity of controller signals to a specific angular misalignment condition, and hence evaluate and characterize the manifestation of its spectral signatures. © 2020 IEEE.
Açıklama
IEEE Industrial Electronics Society (IES);The Institute of Electrical and Electronics Engineers (IEEE)
2020 International Conference on Electrical Machines, ICEM 2020 -- 23 August 2020 through 26 August 2020 -- -- 165584
2020 International Conference on Electrical Machines, ICEM 2020 -- 23 August 2020 through 26 August 2020 -- -- 165584
Anahtar Kelimeler
Angular misalignment, Condition monitoring, Control signals signature analysis, DFIG shaft misalignment, Motor current signature analysis (MCSA)
Kaynak
Proceedings - 2020 International Conference on Electrical Machines, ICEM 2020
